Python | Pandas Series.values Last Updated : 28 Jan, 2019 Summarize Comments Improve Suggest changes Share Like Article Like Report Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Pandas Series.values attribute return Series as ndarray or ndarray-like depending on the dtype. Syntax:Series.values Parameter : None Returns : ndarray Example #1: Use Series.values attribute to return the values in the given series object as an ndarray. Python3 # importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(['New York', 'Chicago', 'Toronto', 'Lisbon', 'Rio']) # Creating the row axis labels sr.index = ['City 1', 'City 2', 'City 3', 'City 4', 'City 5'] # Print the series print(sr) Output : Now we will use Series.values attribute to return the values of the given Series object as an ndarray. Python3 1== # return an ndarray sr.values Output : As we can see in the output, the Series.values attribute has returned an ndarray object containing the values of the given Series object. Example #2 : Use Series.values attribute to return the values in the given series object as an ndarray. Python3 # importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(['1/1/2018', '2/1/2018', '3/1/2018', '4/1/2018']) # Creating the row axis labels sr.index = ['Day 1', 'Day 2', 'Day 3', 'Day 4'] # Print the series print(sr) Output : Now we will use Series.values attribute to return the values of the given Series object as an ndarray. Python3 1== # return an ndarray sr.values Output : As we can see in the output, the Series.values attribute has returned an ndarray object containing the values of the given Series object. Comment More infoAdvertise with us Next Article Python | Pandas Series.get_values() S Shubham__Ranjan Follow Improve Article Tags : Pandas Python-pandas Python pandas-series-methods AI-ML-DS With Python Similar Reads Python | Pandas Series.get_values() Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Pandas Series.get_values() function return 2 min read Python | Pandas Series.set_value() Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Pandas Series.set_value() function is used 2 min read Python | Pandas Series.valid() Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas series is a One-dimensional ndarray with axis labels. The labels need not be un 2 min read Python | Pandas Series.var Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas series is a One-dimensional ndarray with axis labels. The labels need not be un 2 min read Python | Pandas Series.take() Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Pandas Series.take() function return the el 3 min read Python | Pandas Series.shape Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas series is a One-dimensional ndarray with axis labels. The labels need not be un 2 min read Like